Results 1 to 10 of about 9,527 (167)

Gate Road Support Deformation Forecasting Based on Multivariate Singular Spectrum Analysis and Fuzzy Time Series [PDF]

Energies, 2021
Underground mining engineers and planners in our country are faced with extremely difficult working conditions and a continuous shortage of money. Production disruptions are frequent and can sometimes last more than a week.
Luka Crnogorac, R. Tokalić, Z. Gligorić, A. Milutinović, Suzana Lutovac, Aleksandar Ganić   +5 more
semanticscholar   +3 more sources

Multivariate Multiscale Variations Dispersion Entropy and Multivariate Multiscale Variations Fuzzy Dispersion Entropy for Time-Series Analysis

IEEE Sensors Journal
Entropy serves as an effective nonlinear dynamic indicator of time series complexity. A number of multivariate entropy methods exist and are effectively used in signal analysis.
Runan Ding, Yan Niu, Mengni Zhou, Jie Sun, Xueying Wang, Yanqing Dong, Qi Ding, Xubin Wu, Xin Wen, Xiaohong Cui, Jie Xiang   +10 more
semanticscholar   +2 more sources

Multivariate analysis for data mining to characterize poultry house environment in winter. [PDF]

Poult Sci
The processing and analysis of massive high-dimensional datasets are important issues in precision livestock farming (PLF). This study explored the use of multivariate analysis tools to analyze environmental data from multiple sensors located throughout ...
Li M, Zhou Z, Zhang Q, Zhang J, Suo Y, Liu J, Shen D, Luo L, Li Y, Li C.   +9 more
europepmc   +2 more sources

Handling uncertainty in rheological properties of green eggshell nanocomposites by a fuzzy-hybrid modeling approach: a comparative study

Physica Scripta, 2023
Fuzzy regression is an attractive application due to its ability to solve problems in the absence of accurate mathematical models. In this study, rheological properties of a bio-nanocomposite were predicted using fuzzy regression.
Mert Akin Insel, Selcan Karakuş, Gizem Temelcan, Hale Gonce Kocken, Inci Albayrak   +4 more
semanticscholar   +1 more source

Tutorial: a priori estimation of sample size, effect size, and statistical power for cluster analysis, latent class analysis, and multivariate mixture models [PDF]

arXiv.org, 2023
Before embarking on data collection, researchers typically compute how many individual observations they should do. This is vital for doing studies with sufficient statistical power, and often a cornerstone in study pre-registrations and grant ...
Edwin S. Dalmaijer
semanticscholar   +1 more source

Prevalence and correlates of dizziness in community-dwelling older people: a cross sectional population based study

BMC Geriatrics, 2013
Background Dizziness is a common complaint among older adults and has been linked to a wide range of health conditions, psychological and social characteristics in this population.
de Moraes Suzana Albuquerque, Soares WuberJeffersondeSouza, Ferriolli Eduardo, Perracini Monica Rodrigues   +3 more
doaj   +1 more source

Multivariate winning probabilities [PDF]

, 2018
The research reported in this paper has been supported by Project TIN2014-59543-
Baets, Bernard de, Montes Gutiérrez, Ignacio, Montes Rodríguez, Susana   +2 more
core   +2 more sources

Clustering multiply imputed multivariate high‐dimensional longitudinal profiles

Biometrical journal. Biometrische Zeitschrift, 2017
In this paper, we propose a method to cluster multivariate functional data with missing observations. Analysis of functional data often encompasses dimension reduction techniques such as principal component analysis (PCA).
L. Bruckers, G. Molenberghs, P. Dendale
semanticscholar   +1 more source

Integration of Geochemical Modeling, Multivariate Analysis, and Irrigation Indices for Assessing Groundwater Quality in the Al-Jawf Basin, Yemen

Water, 2023
Water quality monitoring is crucial in managing water resources and ensuring their safety for human use and environmental health. In the Al-Jawf Basin, we conducted a study on the Quaternary aquifer, where various techniques were utilized to evaluate ...
M. Al-Mashreki, M. H. Eid, Omar Saeed, András Székács, P. Szűcs, M. Gad, Mostafa R. Abukhadra, A. AlHammadi, Mohammed Saleh Alrakhami, Mubarak Ali Alshabibi, Salah Elsayed, M. Khadr, M. Farouk, H. Ramadan   +13 more
semanticscholar   +1 more source

Absorptive capacity and the growth and investment effects of regional transfers : a regression discontinuity design with heterogeneous treatment effects [PDF]

, 2012
Researchers often estimate average treatment effects of programs without investigating heterogeneity across units. Yet, individuals, firms, regions, or countries vary in their ability, e.g., to utilize transfers.
Becker, Sascha O., Egger, Peter, Ehrlich, Maximilian von   +2 more
core   +1 more source